【发布时间】：2013-10-05 07:45:58
【问题描述】：
我目前正在使用 JavaScript 构建客户数据的交互式地图。
到目前为止，我已经掌握了基础知识，但是当我开始使用标记超过 500 个 poi 或使用圆形标记超过 10,000 个时，性能开始下降......如果有人可以就如何优化我提供一些建议我已经得到了，或者也许我最好转移到像 mongo 这样的适当数据库来获取 json 数据，或者使用 Node Js 做工作服务器端？
任何建议将不胜感激:)
var apiKey = 'BC9A493B41014CAABB98F0471D759707',
styleID = '108219';
// styleID = '997';
// var map = L.map('map').setView([54.550, -4.433], 7);
var southWest = new L.LatLng(61.029031, 4.746094),
northEast = new L.LatLng(48.786962 ,-13.183594),
bounds = new L.LatLngBounds(southWest, northEast);
var mapcenter = new L.LatLng(53.457393,-2.900391);
var map = new L.Map('map',
{
center: mapcenter,
zoom: 7,
// maxBounds: bounds,
zoomControl: false
});
var cloudmadeUrl = generateTileURL(apiKey, styleID),
attribution = 'Map data © OpenStreetMap contributors.',
tileLayer = new L.TileLayer(
cloudmadeUrl,
{
maxZoom: 18,
attribution: attribution,
});
tileLayer.addTo(map);
var zoomControl = new L.Control.Zoom({ position: 'topleft'} );
zoomControl.addTo(map);
var scaleControl = new L.Control.Scale({ position: 'bottomleft' });
scaleControl.addTo(map);
geojsonLayer = L.geoJson(geojson, {
pointToLayer: function(feature, latlng) {
return new L.CircleMarker(latlng, {fillColor: feature.properties.MarkerColour, fillOpacity: 0.5, stroke: false, radius: 6});
// return new L.Marker(latlng, {icon: L.AwesomeMarkers.icon({icon: feature.properties.MarkerIcon, color: feature.properties.MarkerColour, iconColor: 'white'}) });
},
onEachFeature: function (feature, layer) {
layer.bindPopup( '<strong><b>Customer Data</b></strong><br />' + '<b>Result : </b>' + feature.properties.Result + '<br />' + '<b>Postcode : </b>' + feature.properties.Postcode + '<br />' );
}
});
console.log('starting: ' + window.performance.now());
map.addLayer(geojsonLayer);
console.log('ending: ' + window.performance.now());
function generateTileURL(apiKey, styleID) {
return 'http://{s}.tile.cloudmade.com/' + apiKey + '/' + styleID + '/256/{z}/{x}/{y}.png';
}
和一些示例数据：
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.213467,
51.494815
]
},
"properties": {
"DateTime": "1372719435.39",
"Result": "Cable Serviceable",
"MarkerIcon": "ok-sign",
"MarkerColour": "green",
"Postcode": "W14 8UD"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.389445,
51.512121
]
},
"properties": {
"DateTime": "1372719402.083",
"Result": "Refer for National Serviceability",
"MarkerIcon": "minus-sign",
"MarkerColour": "red",
"Postcode": "UB1 1NJ",
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.411291,
51.508012
]
},
"properties": {
"DateTime": "1372719375.725",
"Result": "Cable Serviceable",
"MarkerIcon": "ok-sign",
"MarkerColour": "green",
"Postcode": "UB3 3JJ"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-2.11054,
53.500752
]
},
"properties": {
"DateTime": "1372719299.088",
"Result": "Cable Serviceable",
"MarkerIcon": "ok-sign",
"MarkerColour": "green",
"Postcode": "OL7 9LR",
}
}
【问题讨论】：
-
您的瓶颈不是显示该数据的数据库。在一个视图中显示 500pois 或 10,000 个圆形标记是真正的场景吗？或者您的问题是否意味着在包含 10000 个圆形标记的定义范围内的数据库中搜索？
-
当前的演示版本正在处理大约 500 - 2500 的低值...最终版本需要能够同时显示 10,000 多个数据点...我相信这个问题是因为它在浏览器端实时渲染？只是想知道是否有其他方法可以真正解决扩展问题
标签： javascript json performance maps leaflet